Analyse le code source du projet pour comprendre l'architecture, les patterns utilisés et le contexte technique.
Primary tool for all code navigation and reading in supported languages (Rust, Python, TypeScript, JavaScript, Go, Java, Scala, SQL).
MANDATORY for code review - must use Codex CLI for all code reviews, then apply fixes based on Codex feedback.
Workflow packs for the 7 most common Claude Code tasks — codebase exploration, bug fixing, safe refactoring, TDD, repo review before merge, CLAUDE.md generation, and migration…
Compare CPython source code between two Python versions to identify changes in headers and structs. Use this when adding support for a new Python version to understand what…
React, MDX, and Tailwind CSS integration patterns for Astro websites. Use when adding React components, configuring MDX content, setting up Tailwind styling, integrating component…
Diagnose when intuitive judgment, agent confidence, or expert routing can be trusted by classifying environment validity, feedback quality, and task-boundary fit.
Docker and OCI container image expertise for building, optimizing, and securing container images
Generate unit tests, integration tests, and test fixtures for code. Supports Jest, Mocha, pytest. Use when writing tests or improving test coverage.
Essential guidelines for writing modern, type-safe, and idiomatic Python 3 code.
Creates bauplan data pipeline projects with SQL and Python models. Use when starting a new pipeline, defining DAG transformations, writing models, or setting up bauplan project…
Expert-level C# development with .NET 8+, ASP.NET Core, LINQ, async/await, and enterprise patterns
Use when lINQ query and method syntax, deferred execution, and performance optimization. Use when querying collections in C#.
Use when C# nullable reference types and value types for null safety, nullable annotations, and patterns for handling null values.
ESLint, Prettier, and StyleLint configuration standards for JavaScript code quality and formatting, including flat config setup, rule management, and build integration
JavaScript project structure, package.json configuration, dependency management, and Maven integration standards for consistent project setup and builds
Jest unit testing standards covering configuration, test structure, testing patterns, and coverage requirements
JSDoc documentation standards for JavaScript functions, classes, modules, and web components
Analyze hierarchical DAG-like systems by separating undirected substrate from ordering metadata, then classifying diamonds, mixers, shortcuts, and hidden cycle structure.
Expert Cypress testing framework integration for browser-based end-to-end testing
Expert-level data mesh architecture, domain-oriented ownership, data products, federated governance, and self-serve platforms
MANDATORY when designing schemas, writing migrations, creating indexes, or making architectural database decisions - enforces PostgreSQL 18 best practices including AIO — from…
Generate database seed scripts with realistic sample data. Reads Drizzle schemas or SQL migrations, respects foreign key ordering, produces idempotent TypeScript or SQL seed…
Ensure code follows DDD architecture and DAL separation for both frontend and backend. Triggers: DDD, arch, 架構, 新功能, 新模組, new feature, scaffold, 骨架, domain, layer, 分層, structure,…
Multi-dimensional technical debt classification across architecture, code, test, doc, and infra. Trigger: "classify debt", "debt types", "categorize tech debt", "debt dimensions".
Debug web app by capturing and analyzing console errors using Chrome DevTools MCP
Self-Improving Agent that monitors all other agent skills, analyzes their logs, detects issues, and proposes improvements.
Deploy engineer para Axé Hub — git flow, versionamento semântico, Supabase e Vercel
Set up progressive canary deployments on GCP Cloud Run with traffic splitting, monitoring alerts, and automated rollback.
Expert-level system design, architecture patterns, scalability, and distributed systems
Guides the design and structuring of workflow-based Claude Code skills with multi-step phases, decision trees, subagent delegation, and progressive disclosure.
Guide user through button detection for an unknown mouse using Slicer Python console
Probe a target for accidentally-public admin / debug / introspection endpoints — Spring Boot Actuator, Apache server-status, Prometheus metrics, GraphQL playground, Swagger UI,…
Modern web auth implementation (better-auth, Lucia, NextAuth/Auth.js, Clerk, Supabase Auth). Trigger when the user wants to add login, signup, sessions, OAuth, magic links, 2FA,…
GraphQL API development. Trigger when the user wants to create schemas, resolvers, or GraphQL queries.
Next.js development (App Router, Server Components, caching, streaming). Trigger when the user works with Next.js, modifies app/, pages/, next.config, or talks about RSC, Server…
React/Next.js performance optimization. Trigger when the user wants to optimize rendering, reduce re-renders, or improve Core Web Vitals.
Backend development with Supabase. Trigger when the user wants to configure auth, the database, or Supabase storage.
Production-grade agentic system development with LlamaIndex in Python. Covers semantic ingestion (SemanticSplitterNodeParser, CodeSplitter, IngestionPipeline), retrieval…
Complete 9-phase development pipeline guide — from schema to deployment. Triggers: development pipeline, where to start, phase, 개발 파이프라인, 순서, 시작.
Create technical specifications, ADRs, and project context documentation that prevents technical debt.
Orchestrate production releases with deployment automation, smoke testing, rollback capabilities, and release documentation. Use after QA approval to deploy stories to production.
GitHub/Railway housekeeping for CI env/secret management and DX maintenance. Use when setting or auditing GitHub Actions variables/secrets, syncing Railway env → GitHub, or fixing…
Use when Django Class-Based Views for building modular, reusable views. Use when creating CRUD operations and complex view logic.
Use when Django ORM patterns with models, queries, and relationships. Use when building database-driven Django applications.
Use when Django REST Framework for building APIs with serializers, viewsets, and authentication. Use when creating RESTful APIs.
API/SDK documentation fetcher via Context Hub MCP + web fallback. Triggers on "API docs", "SDK docs", "docs for X", "how to use X", "documentation", "API reference", "API 문서",…
Expert guidance for Docker containerization and Kubernetes orchestration. Use when containerizing applications, managing multi-container setups with Docker Compose, or deploying…
Validates that version strings in Dockerfiles match package.json dependencies and constraints. Use when updating Docker base images, Node.js versions, pnpm versions, turbo…
TRIGGER: Auto-activate when user asks to write, implement, build, fix, debug, modify, refactor, or create code that involves project libraries.
Post-ship documentation update. Reads all project docs, cross-references the diff, updates README/ARCHITECTURE/CONTRIBUTING/CLAUDE.md to match what shipped, polishes CHAN — from…
Post-ship documentation update. Reads all project docs, cross-references the diff, updates README/ARCHITECTURE/CONTRIBUTING/CLAUDE.md to match what shipped, polishes CHAN — from…
Understand and work with mortgage document types and classification. Use when asking about document types, adding new document support, debugging classification, or understanding…
Use when documentation drift is detected. Comprehensively audits codebase and creates/updates Swagger, features docs, and general documentation to achieve full sync.
Technical documentation patterns for READMEs, ADRs, API docs (OpenAPI 3.1), changelogs, and writing style guides.
Simulates command execution in dry-run mode without file modifications. Sets dry_run flag, executes command with read-only constraint, then resets flag.
Template generator for E2E test definitions. Creates structured test files for use with test-e2e skill. Triggers on keywords: e2e template, test template, create test definition
Execute end-to-end tests for Nikita using Telegram MCP, Gmail MCP, Supabase MCP, Chrome DevTools MCP, and gcloud CLI.
Use when testing Effect code including Effect.gen in tests, test layers, mocking services, and testing error scenarios. Use for writing tests for Effect applications.
Intent-based code interpretation across all languages — SQL, Python, JS, YAML, Bash, and beyond